Publications by authors named "Yuelong Ji"

Background/objectives: This study investigates the impact of maternal glycemic levels during early and late pregnancy on offspring neurodevelopment in China.

Methods: Fasting plasma glucose (FPG) and triglyceride (TG) levels were measured in maternal blood during pregnancy, and the TyG index was calculated to assess insulin resistance. Hyperglycemia was defined as FPG > 5.

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Article Synopsis
  • The study highlights the urgent need to prioritize actions to reduce the global maternal mortality ratio (MMR), particularly in low- and middle-income countries (LMICs).
  • Using a modelling approach, the researchers explored four scenarios of health intervention scale-up and found that substantial increases or universal coverage of healthcare could significantly lower MMR by 2030.
  • Key interventions like Caesarean delivery, postpartum hemorrhage treatment, and assisted vaginal delivery were identified as crucial in driving MMR reductions, with a successful scale-up potentially allowing many LMICs to meet Sustainable Development Goal 3.1 on maternal health.
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Background: Despite mounting evidence linking neurological diseases with climate change, the link between autism spectrum disorder (ASD) and global warming has yet to be explored.

Aims: To examine the relationship between the incidence of ASD and global warming from 1990 to 2019 and estimate the trajectory of ASD incidence from 2020 to 2100 globally.

Method: We extracted meteorological data from TerraClimate between 1990 and 2019.

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Article Synopsis
  • The study aimed to investigate how different methods of tracking body mass index (BMI) during early childhood relate to the risk of becoming overweight by age three.
  • The research involved 1,330 children followed from birth to three years, using advanced statistical techniques to categorize BMI growth patterns.
  • Results showed distinct BMI trajectory classifications based on the methods used, indicating variations in early growth patterns and their association with overweight risk at a young age.
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Early identification of children with neurodevelopmental abnormality is a major challenge, which is crucial for improving symptoms and preventing further decline in children with neurodevelopmental abnormality. This study focuses on developing a predictive model with maternal sociodemographic, behavioral, and medication-usage information during pregnancy to identify infants with abnormal neurodevelopment before the age of one. In addition, an interpretable machine-learning approach was utilized to assess the importance of the variables in the model.

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Background: Prenatal fine particulate matter (PM) constituents exposure and reduced fetal growth may be risk factors for accelerated growth in early childhood, an important indicator for lifelong health.

Objective: The study investigated whether the joint effects are present between PM constituents and reduced fetal growth.

Methods: The study was embedded in a birth cohort in China, including 5424 mother-child pairs.

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Background: Most studies on the association of exposure to cigarette smoking and childhood overweight or obesity (OWO) were based on maternal self-reported smoking status, and few were based on objective biomarkers. The concordance of self-report smoking, and maternal and cord blood biomarkers of cigarette smoking as well as their effects on children's long-term risk of overweight and obesity are unclear.

Methods: In this study, we analyzed data from 2351 mother-child pairs in the Boston Birth Cohort, a sample of US predominantly Black, indigenous, and people of color (BIPOC) that enrolled children at birth and followed prospectively up to age 18 years.

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What Is Already Known About This Topic?: Elevated gestational weight gain (GWG) during pregnancy among women diagnosed with gestational diabetes mellitus (GDM) is correlated with an increased instance of large for gestational age (LGA) and macrosomia. However, it remains uncertain whether managing weekly GWG following a GDM diagnosis positively impacts fetal birth weight.

What Is Added By This Report?: Our study found that GWG following GDM diagnosis correlates positively with the risk of LGA and macrosomia among all body mass index (BMI) subgroups, especially for overweight and obese women.

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Background: Limited studies evaluated the effect of prenatal exposure to fine particulate matter (PM) on childhood growth and no consensus reached yet. No study explored the effect of prenatal exposure to PM and its constituents on childhood growth in a region with high PM levels (>50 μg/m). The present study aimed to examine the association of prenatal exposure to PM and its constituents with children's BMI Z-score in the first three years.

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Background: Some clinicians used levothyroxine (LT4) treatment for mild subclinical hypothyroidism (SCH) pregnant women (2.5 < thyroid-stimulating hormone (TSH) ≤ the pregnancy-specific reference range with normal free thyroxine (FT4) level) with thyroid peroxidase antibody negative (TPOAb), although the recent clinical guideline did not recommend it. It is unknown whether LT4 treatment for pregnant women with mild SCH and TPOAb have impact on fetal growth.

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What Is Already Known About This Topic?: Joint effects of gestational weight gain (GWG) and hyperglycemia on adverse pregnancy outcomes suggest that lower optimal GWG is optimal for women with gestational diabetes mellitus (GDM). However, there is still a lack of guidelines.

What Is Added By This Report?: Optimal weekly GWG range after diagnosis of GDM for underweight, normal-weight, overweight, and obese women was 0.

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Background: Limited studies have examined the effect of prenatal exposure to particulate matter with diameter of <2.5 µm (PM2.5) and <1 μm (PM1) on fetal growth using ultrasound measurements with inconsistent results.

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Background And Objectives: Multiple reproductive factors are associated with stroke. Little is known about the cumulative effects of reproductive factors during a reproductive life course on stroke and its subtypes, especially among female Chinese individuals. The objective of this study was to assess the associations of lifetime cumulative estrogen exposure due to reproductive factors with stroke and its etiologic subtypes among postmenopausal Chinese women.

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Article Synopsis
  • Particulate matter (PM) exposure negatively impacts respiratory and circulatory health, and this study investigates how it affects hypertensive disorders of pregnancy (HDPs) during the crucial period from preconception to delivery.
  • Researchers analyzed data from 22,570 pregnant women, focusing on those diagnosed with gestational hypertension and preeclampsia, and utilized satellite data to measure PM exposure linked to participants' addresses.
  • Results indicated that exposure to PM significantly increases the risk of HDPs, particularly noting the critical influence from the 5th week before conception to the 6th week of pregnancy, with a lag effect persisting from the week before conception through the 6th week of gestation.
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The effects of fine particulate matter (PM) on de novo hypertensive disorders of pregnancy (HDP) were inconsistent during the first and second trimesters. This study aimed to assess the trimester-specific effects of PM and PM prior to diagnosis of de novo HDP. The exposure of fine PM was predicted by satellite remote sensing data according to maternal residential addresses.

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Background: Predicting birth weight and identifying its risk factors are clinically important. This study aims to use interpretable machine learning to predict birth weight and identity important predictors.

Methods: This prospective cohort study was conducted in Tongzhou Maternal and Child Health Care Hospital of Beijing, China, recruiting pregnant women between June 2018 and February 2019.

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Effectively identifying high-risk patients with de novo hypertensive disorder of pregnancy (HDP) is required to enable timely intervention and to reduce adverse maternal and perinatal outcomes. Electronic medical record of pregnant women with de novo HDP were extracted from a birth cohort in Beijing, China. The adverse outcomes included maternal and fetal morbidities, mortality, or any other adverse complications.

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Objective: To examine the effects of prenatal maternal depression, anxiety and stress, and postnatal depression on infant early neurodevelopment, and the sex dimorphism.

Study Design: We used data from 3379 mother-infant pairs from the Shanghai Birth Cohort. Maternal mental health was assessed using the Center for Epidemiological Studies-Depression Scale, Zung Self-Rating Anxiety Scale, Perceived Stress Scale at mid-pregnancy, and the Edinburgh Postnatal Depression Scale at postpartum.

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The joint effect of electronic cigarette smoking and insufficient sleep duration on cardiovascular disease (CVD) was unclear. This cross-sectional study aimed to evaluate the association between electronic cigarettes, sleep duration, and risk of CVD among American adults. The participants who completed the survey from the behavioral risk factor surveillance system in 2020 were included in this study.

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Introduction: Maternal folate deficiency was associated with preeclampsia (PE) and PE was associated with placental maternal vascular malperfusion (MVM). However, no study has examined the association of maternal folate status with placental MVM.

Methods: We examined the association of maternal folate status and placental MVM in the Boston Birth Cohort.

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Optimal Vitamin D (VitD) status and thyroid function are essential for pregnant women. This study aimed to explore associations between dynamic VitD status and thyroid function parameters in each trimester and throughout the pregnancy period. Information on all 8828 eligible participants was extracted from the Peking University Retrospective Birth Cohort in Tongzhou.

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Reasonable exercise is beneficial to human health. However, it is difficult for ordinary athletes to judge whether they are already in a state of fatigue that is not suitable for exercise. In this case, it is easy to cause physical damage or even life-threatening.

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Background: The association of gestational hypertension (GH) and preeclampsia (PE) with offspring adiposity outcomes had controversial results in different studies.

Objective: We conducted a systematic review and meta-analysis to evaluate the relationship between maternal GH/PE and offspring adiposity outcomes.

Search Strategy: Studies were identified in PubMed, Embase, and Cochrane databases, with keywords including "gestational hypertension", "preeclampsia", "offspring", "weight", "cohort study", etc.

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Background: Limited studies investigated the association of prenatal exposure to PM and fetal growth measured by ultrasound with inconsistent results. No study evaluated the effect of PM constituents on fetal growth in utero. We aimed to investigated whether prenatal exposure to PM and its constituents was associated with fetal growth measured by ultrasound.

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